| Federated learning with blockchain for autonomous vehicles: Analysis and design challenges SR Pokhrel, J Choi IEEE Transactions on Communications 68 (8), 4734-4746, 2020 | 134 | 2020 |
| A blockchained federated learning framework for cognitive computing in industry 4.0 networks Y Qu, SR Pokhrel, S Garg, L Gao, Y Xiang IEEE Transactions on Industrial Informatics 17 (4), 2964-2973, 2020 | 91 | 2020 |
| Towards enabling critical mMTC: A review of URLLC within mMTC SR Pokhrel, J Ding, J Park, OS Park, J Choi IEEE Access 8, 131796-131813, 2020 | 59 | 2020 |
| Improving TCP performance over WiFi for internet of vehicles: a federated learning approach SR Pokhrel, J Choi IEEE transactions on vehicular technology 69 (6), 6798-6802, 2020 | 50 | 2020 |
| TCP performance over Wi-Fi: Joint impact of buffer and channel losses SR Pokhrel, M Panda, HL Vu, M Mandjes IEEE Transactions on Mobile Computing 15 (5), 1279-1291, 2015 | 40 | 2015 |
| Improving multipath TCP performance over WiFi and cellular networks: An analytical approach SR Pokhrel, M Mandjes IEEE Transactions on Mobile Computing 18 (11), 2562-2576, 2018 | 37 | 2018 |
| Modeling Compound TCP Over WiFi for IoT SR Pokhrel, C Williamson IEEE/ACM Transactions on Networking (TON) 26 (2), 864-878, 2018 | 33 | 2018 |
| An intelligent and optimal resource allocation approach in sensor networks for smart agri-IoT SKS Tyagi, A Mukherjee, SR Pokhrel, KK Hiran IEEE Sensors Journal 21 (16), 17439-17446, 2020 | 32 | 2020 |
| Analytical modeling of multipath TCP over last-mile wireless SR Pokhrel, M Panda, HL Vu IEEE/ACM Transactions on networking 25 (3), 1876-1891, 2017 | 32 | 2017 |
| Adaptive admission control for IoT applications in home WiFi networks SR Pokhrel, HL Vu, AL Cricenti IEEE Transactions on Mobile Computing 19 (12), 2731-2742, 2019 | 31 | 2019 |
| A decentralized federated learning approach for connected autonomous vehicles SR Pokhrel, J Choi 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2020 | 29 | 2020 |
| Federated learning meets blockchain at 6G edge: A drone-assisted networking for disaster response SR Pokhrel Proceedings of the 2nd ACM MobiCom workshop on drone assisted wireless …, 2020 | 26 | 2020 |
| Low-delay scheduling for internet of vehicles: Load-balanced multipath communication with FEC SR Pokhrel, J Choi IEEE Transactions on Communications 67 (12), 8489-8501, 2019 | 26 | 2019 |
| An Efficient Clustering Framework for Massive Sensor Networking in Industrial IoT SR Pokhrel, S Verma, S Garg, AK Sharma, J Choi IEEE Transactions on Industrial Informatics, 2020 | 24 | 2020 |
| Mobility-aware multipath communication for unmanned aerial surveillance systems SR Pokhrel, J Jin, H Le Vu IEEE Transactions on Vehicular Technology 68 (6), 6088-6098, 2019 | 24 | 2019 |
| Performance analysis of TCP NewReno over a cellular last-mile: Buffer and channel losses M Panda, HL Vu, M Mandjes, SR Pokhrel IEEE Transactions on Mobile Computing 14 (8), 1629-1643, 2014 | 22 | 2014 |
| QoS-aware personalized privacy with multipath TCP for industrial IoT: Analysis and design SR Pokhrel, Y Qu, L Gao IEEE Internet of Things Journal 7 (6), 4849-4861, 2020 | 21 | 2020 |
| Compound TCP Performance for Industry 4.0 WiFi: A Cognitive Federated Learning Approach SR Pokhrel, S Singh IEEE Transactions on Industrial Informatics 17 (3), 2143-2151, 2020 | 20 | 2020 |
| Multipath communication with deep Q-Network for industry 4.0 automation and orchestration SR Pokhrel, S Garg IEEE Transactions on Industrial Informatics 17 (4), 2852-2859, 2020 | 19 | 2020 |
| Federated learning with multichannel ALOHA J Choi, SR Pokhrel IEEE Wireless Communications Letters 9 (4), 499-502, 2019 | 19 | 2019 |
Jinho ChoiSchool of Information Technology, Deakin UniversityVerified email at deakin.edu.au
